文章基本信息

标题：Comparison between Butterworth and Gaussian High-pass Filters using an Enhanced Method
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作者：Farah H. Zawaideh ; Qais M. Yousef ; Firas H. Zawaideh 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2017
卷号：17
期号：7
页码：113-117
出版社：International Journal of Computer Science and Network Security
摘要：Filtering is aimed to preprocess image in order to make it more adaptive for a specific application. Several types of filters are available, involving low-pass filters, which prevent higher frequencies from passage and high-pass filters, which cut low frequencies. The purpose of this paper is to compare between Butterworth High Pass Filter (BHPF) and Gaussian High Pass Filter (GHPF) within the frequency domain to enhance these two filters and to obtain sharper images. The proposed enhanced models were applied on standard pictures and simulated using MATLAB. Experimental results comparing the old and new filters design showed that GHPF outperformed BHPF. Moreover, the new designed filters outperformed the original ones.
关键词：Gaussian High-Pass Filter; Butterworth High-Pass Filter; Image Sharpening; Fast Fourier.